Name: Yong-hun Suh
Current Role: Ph.D. Intern at the GIS Team
Education
Currently Involved Project
The Gyeongsang-do1 region has experienced the highest level of landslide damage over the past decade (Korea Forest Service, 2022).
As of June 2023, Gyeongsangbuk-do recorded (Park, 2023):
4,935 landslide-prone areas (17.7% of the national total)
9,977 residents living in vulnerable zones (13.8%)
Based on these figures, this study selected Uljin County in Gyeongsangbuk-do as the case study area.
Non-landslide samples were selected using stratified sampling to match the number of landslide occurrences.
Displacement and rainfall data were collected per event date and assigned accordingly
All variables were converted to 10m raster for the susceptibility map (i.e., predictions)
| Variable Type | Variable Name | Spatial Resolution | Type | Source |
|---|---|---|---|---|
| Feature | Elevation (DEM) | 30m | Continuous | USGS1 |
| Slope | 30m | Continuous | - | |
| Aspect | 30m | Categorical | - | |
| Topographic Wetness Index (TWI) | 30m | Continuous | - | |
| Ground Displacement | 80m | Continuous | ASF DAAC2 | |
| NDVI | 10m | Continuous | ESA3 | |
| Max. Daily Rainfall Intensity | 500m | Continuous | KMA4 | |
| 48h Antecedent Rainfall | 500m | Continuous | KMA | |
| Soil Type (Generalized) | 30m | Categorical | RDA5 | |
| Distance from Faults | 30m | Continuous | KIGAM6 | |
| Distance from Rivers | 30m | Continuous | MOLIT7 | |
| Distance from Roads | 30m | Continuous | MOLIT | |
| Target | Landslide Inventory | - | Binary | MOIS8 |
A total of 9,656 landslide events recorded nationwide.
Obtained from the publicly available Korea Safety Map by MOIS.
RSeleniumCaptures ground motion in the satellite sensor’s line-of-sight(LoS) between two passes over the same area.
Variable Details
Processed from two Single Look Complex (SLC) images prior to each event date.
→Assigned as the observation value for each event date.
Absolute values taken to simplify interpretation.
Radar space resolution: 2.3 × 14.1, converted to 80m × 80m in geographic space.
Unit: meters per temporal baseline (days).
|
Pairs (Direction) |
Data Type | Acquisition Date | Perpendicular Baseline | Temporal Baseline |
|---|---|---|---|---|
|
1 (ASCENDING) |
SLC | 07SEP19 | 41.123m | 18 days |
| 25SEP19 | ||||
|
2 (ASCENDING) |
SLC | 26AUG20 | 84.548m | 12 days |
| 07SEP20 | ||||
5-minute intervals and 500m × 500m spatial resolutions
Offers a more realistic estimate of rainfall compared to interpolated rain gauge data
Variable Details
For each case date, the maximum rainfall intensity and 48-hour antecedent rainfall were extracted as observed values
Reflectivity was converted to rainfall using the Z-R relationship1
| Metric | XGB | RF |
|---|---|---|
| Accuracy | 0.812 | 0.803 |
| Sensitivity | 0.835 | 0.789 |
| Specificity | 0.789 | 0.817 |
| F-score | 0.816 | 0.800 |
| AUC ROC | 0.902 | 0.892 |
| Metric | XGB | RF |
|---|---|---|
| Accuracy | 0.821 | 0.794 |
| Sensitivity | 0.835 | 0.752 |
| Specificity | 0.807 | 0.835 |
| F-score | 0.824 | 0.785 |
| AUC | 0.906 | 0.893 |